9865554
6892
Scikit-learn Bot
58
Supervised Classification
8834
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)
7794956
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"median"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
8841
sparse
true
8841
threshold
0.0
8842
criterion
"mae"
8843
init
null
8843
learning_rate
0.2345664815386877
8843
loss
"deviance"
8843
max_depth
2
8843
max_features
0.5043625673551433
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.8608488185593269
8843
min_impurity_split
null
8843
min_samples_leaf
6
8843
min_samples_split
20
8843
min_weight_fraction_leaf
0.23001423125457265
8843
n_estimators
90
8843
n_iter_no_change
179
8843
presort
"auto"
8843
random_state
6106
8843
subsample
0.8021422278750094
8843
tol
0.0002362214585574577
8843
validation_fraction
0.03905987404553768
8843
verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
60
waveform-5000
https://www.openml.org/data/download/60/dataset_60_waveform-5000.arff
-1
20651554
description
https://api.openml.org/data/download/20651554/description.xml
-1
20651555
predictions
https://api.openml.org/data/download/20651555/predictions.arff
area_under_roc_curve
0.49907075618018243 [0.499285,0.499051,0.498871]
average_cost
0
kappa
0
kb_relative_information_score
5.47377401950895
mean_absolute_error
0.44443147892463974
mean_prior_absolute_error
0.4444187354254056
number_of_instances
5000 [1692,1653,1655]
predictive_accuracy
0.33840000000000003
prior_entropy
1.584879304663002
recall
0.3384 [1,0,0]
relative_absolute_error
1.0000286745319635
root_mean_prior_squared_error
0.47139087815169733
root_mean_squared_error
0.4713943583216606
root_relative_squared_error
1.0000073827690024
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.5778708895797638
kb_relative_information_score
0.5778708895797638
kb_relative_information_score
0.5390514811264234
kb_relative_information_score
0.5390514811264234
kb_relative_information_score
0.5390514811264234
kb_relative_information_score
0.5390514811264234
kb_relative_information_score
0.5390514811264234
kb_relative_information_score
0.5409249449057892
kb_relative_information_score
0.5409249449057892
kb_relative_information_score
0.5409249449057892
mean_absolute_error
0.44442822038501834
mean_absolute_error
0.44442822038501834
mean_absolute_error
0.44443239777985816
mean_absolute_error
0.44443239777985816
mean_absolute_error
0.44443239777985816
mean_absolute_error
0.44443239777985816
mean_absolute_error
0.44443239777985816
mean_absolute_error
0.4444321198590725
mean_absolute_error
0.4444321198590725
mean_absolute_error
0.4444321198590725
mean_prior_absolute_error
0.44441068692117863
mean_prior_absolute_error
0.44441068692117863
mean_prior_absolute_error
0.4444205476713951
mean_prior_absolute_error
0.4444205476713951
mean_prior_absolute_error
0.4444205476713951
mean_prior_absolute_error
0.4444205476713951
mean_prior_absolute_error
0.4444205476713951
mean_prior_absolute_error
0.44442108068492037
mean_prior_absolute_error
0.44442108068492037
mean_prior_absolute_error
0.44442108068492037
number_of_instances
500 [170,165,165]
number_of_instances
500 [170,165,165]
number_of_instances
500 [169,165,166]
number_of_instances
500 [169,165,166]
number_of_instances
500 [169,165,166]
number_of_instances
500 [169,165,166]
number_of_instances
500 [169,165,166]
number_of_instances
500 [169,166,165]
number_of_instances
500 [169,166,165]
number_of_instances
500 [169,166,165]
predictive_accuracy
0.34
predictive_accuracy
0.34
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
predictive_accuracy
0.33799999999999997
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
prior_entropy
1.584879304663002
recall
0.34 [1,0,0]
recall
0.34 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
recall
0.338 [1,0,0]
relative_absolute_error
1.0000394532902914
relative_absolute_error
1.0000394532902914
relative_absolute_error
1.0000266641777145
relative_absolute_error
1.0000266641777145
relative_absolute_error
1.0000266641777145
relative_absolute_error
1.0000266641777145
relative_absolute_error
1.0000266641777145
relative_absolute_error
1.0000248394476137
relative_absolute_error
1.0000248394476137
relative_absolute_error
1.0000248394476137
root_mean_prior_squared_error
0.4713823410994445
root_mean_prior_squared_error
0.4713823410994445
root_mean_prior_squared_error
0.47139280038054204
root_mean_prior_squared_error
0.47139280038054204
root_mean_prior_squared_error
0.47139280038054204
root_mean_prior_squared_error
0.47139280038054204
root_mean_prior_squared_error
0.47139280038054204
root_mean_prior_squared_error
0.47139336574047663
root_mean_prior_squared_error
0.47139336574047663
root_mean_prior_squared_error
0.47139336574047663
root_mean_squared_error
0.4713904590474468
root_mean_squared_error
0.4713904590474468
root_mean_squared_error
0.4713954539248711
root_mean_squared_error
0.4713954539248711
root_mean_squared_error
0.4713954539248711
root_mean_squared_error
0.4713954539248711
root_mean_squared_error
0.4713954539248711
root_mean_squared_error
0.47139513181895143
root_mean_squared_error
0.47139513181895143
root_mean_squared_error
0.47139513181895143
root_relative_squared_error
1.0000172215785246
root_relative_squared_error
1.0000172215785246
root_relative_squared_error
1.000005629157524
root_relative_squared_error
1.000005629157524
root_relative_squared_error
1.000005629157524
root_relative_squared_error
1.000005629157524
root_relative_squared_error
1.000005629157524
root_relative_squared_error
1.000003746506852
root_relative_squared_error
1.000003746506852
root_relative_squared_error
1.000003746506852
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
71219.721624
usercpu_time_millis
71144.599015
usercpu_time_millis
71098.89851900002
usercpu_time_millis
71178.69813599998
usercpu_time_millis
71261.00647700002
usercpu_time_millis
71177.76685100001
usercpu_time_millis
71196.37274800005
usercpu_time_millis
71239.02051400012
usercpu_time_millis
71199.457682
usercpu_time_millis
72411.296108
usercpu_time_millis_testing
4.089425000003644
usercpu_time_millis_testing
3.907362000006742
usercpu_time_millis_testing
3.9617799999973613
usercpu_time_millis_testing
3.8733829999841873
usercpu_time_millis_testing
3.867807000005996
usercpu_time_millis_testing
3.7273849999905906
usercpu_time_millis_testing
3.7180450000278142
usercpu_time_millis_testing
3.915900000038164
usercpu_time_millis_testing
4.068182999958481
usercpu_time_millis_testing
3.7880539999832763
usercpu_time_millis_training
71215.632199
usercpu_time_millis_training
71140.69165299999
usercpu_time_millis_training
71094.93673900003
usercpu_time_millis_training
71174.824753
usercpu_time_millis_training
71257.13867000001
usercpu_time_millis_training
71174.03946600002
usercpu_time_millis_training
71192.65470300002
usercpu_time_millis_training
71235.10461400008
usercpu_time_millis_training
71195.38949900004
usercpu_time_millis_training
72407.508054